ArticleObstetrics & gynecology science2013
Type-specific prevalence of high-risk human papillomavirus by cervical cytology and age: Data from the health check-ups of 7,014 Korean women.
Article in Obstetrics & gynecology science, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 3 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
28 citing papers in PubMed, 3 syntheses or guidelines pooled it, 46 citations in OpenAlex.
- Worldwide burden of cervical human papillomavirus (HPV) in women over 50 years with abnormal cytology: a systematic review and meta-analysis.BMJ global health · 2025Pooled it
- Enhanced disease progression due to persistent HPV-16/58 infections in Korean women: a systematic review and the Korea HPV cohort study.Virology journal · 2021Pooled it
- Burden of Human papillomavirus (HPV)-related disease and potential impact of HPV vaccines in the Republic of Korea.Papillomavirus research (Amsterdam, Netherlands) · 2019Pooled it
- Prevalence of HPV infection among 28,457 Chinese women in Yunnan Province, southwest China.Scientific reports · 2016Trial
- Human Papillomavirus Positivity and Genotype Distribution Among Korean Females: A Large-Scale Laboratory-Based Analysis.Journal of clinical medicine · 2026Article
- Detecting and genotyping high-risk human papillomavirus among male patients during 2015-2023 in Beijing, China.Emerging microbes & infections · 2024Article
- Prevalence of High-Risk HPV Detection and HPV Vaccination in Cervical Cancer Screening During the HPV Vaccination Era at Siriraj Hospital - Thailand's Largest National Tertiary Referral Center.Asian Pacific journal of cancer prevention : APJCP · 2024Article
- Epidemiology of human papillomavirus infection in women from Xiamen, China, 2013 to 2023.Frontiers in public health · 2024Article
- Prevalence and Genotyping of Human Papillomavirus Infections in Females and Males in Zhejiang, China.Infection and drug resistance · 2024Article
- Age-specific prevalence and genotype distribution of human papillomavirus in women from Northwest China.Cancer medicine · 2022Article
- Genotype Distribution and Prevalence of High-Risk Human Papillomavirus Infection among Women in Samsun Province of Turkey.Asian Pacific journal of cancer prevention : APJCP · 2022Article
- Prevalence of human papillomavirus genotypes and precancerous cervical lesions in a screening population in Beijing, China: analysis of results from China's top 3 hospital, 2009-2019.Virology journal · 2020Article
- Prevalence and genotype distribution of HPV and cervical pathological results in Sichuan Province, China: a three years surveys prior to mass HPV vaccination.Virology journal · 2020Article
- Article
- Carcinogenic risk of human papillomavirus (HPV) genotypes and potential effects of HPV vaccines in Korea.Scientific reports · 2019Article
- Investigation of human papillomavirus prevalence in married women and molecular characterization and phylogenetic analysis of the virus.Obstetrics & gynecology science · 2019Article
- Proposal for cervical cancer screening in the era of HPV vaccination.Obstetrics & gynecology science · 2018Review
- Article
- Sequencing analysis of HPV-other type on an HPV DNA chip.Obstetrics & gynecology science · 2018Article
- Human Papilloma Viruses and Their Genotype Distribution in Women with High Socioeconomic Status in Central Anatolia, Turkey: A Pilot Study.Medical science monitor : international medical journal of experimental and clinical research · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveWe investigated the type-specific high-risk human papillomavirus (HPV) prevalence and distribution according to cervical cytology and age in healthy Korean women.
methodsA retrospective cross-sectional study was conducted with 7,014 consecutive subjects undergoing both liquid-based cervical cytology and HPV genotyping test by DNA chip for cervical cancer screening. The type-specific prevalence and distribution of individual high-risk HPV types were assessed according to cervical cytology and age groups (<30, 30-39, 40-49, 50-59, and ≥60 years old).
resultsIn total, the most common HPV genotype was HPV58 (23.9% of all high-risk HPV-positive subjects), followed by HPV16 (21.8%), HPV52 (16.6%), and HPV18 (11.7%). Regarding cervical cytology and age groups, the proportion of HPV56 strongly increased with the increasing severity of cervical cytology (P for trend=0.041). An age-specific decline in the overall high-risk HPV prevalence was reaffirmed, and the proportion of HPV52 declined markedly with age (P for trend=0.014).
conclusionThe type-specific prevalence of high-risk HPV types significantly varies according to cervical cytology and age. It may imply that these types have different to develop into precancerous lesions in normal cervix.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.